Multi-dimensional Gated Recurrent Units for the Segmentation of Biomedical 3D-Data

Simon Andermatt, Simon Pezold, Philippe C. Cattin. Multi-dimensional Gated Recurrent Units for the Segmentation of Biomedical 3D-Data. In Gustavo Carneiro, Diana Mateus, Loïc Peter, Andrew Bradley, João Manuel R. S. Tavares, Vasileios Belagiannis, João Paulo Papa, Jacinto C. Nascimento, Marco Loog, Zhi Lu, Jaime S. Cardoso, Julien Cornebise, editors, Deep Learning and Data Labeling for Medical Applications - First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings. Volume 10008 of Lecture Notes in Computer Science, pages 142-151, 2016. [doi]

Abstract

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